Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours Export

@article{citeulike:1914415, abstract = {Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parametrization and cannot handle changes in curve topology. Geometric active contours provide a framework which is parametrization independent and allow for changes in topology. In the present work, we formulate a particle filtering algorithm in the geometric active contour framework that can be used for tracking moving and deforming objects. To the best of our knowledge, this is the first attempt to implement an approximate particle filtering algorithm for tracking on a (theoretically) infinite dimensional state space.}, author = {Rathi, Yogesh and Vaswani, Namrata and Tannenbaum, Allen and Yezzi, Anthony}, booktitle = {Transactions on Pattern Analysis and Machine Intelligence}, citeulike-article-id = {1914415}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TPAMI.2007.1081}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4250471}, doi = {10.1109/TPAMI.2007.1081}, journal = {Transactions on Pattern Analysis and Machine Intelligence}, keywords = {active, contour, defrormable, filter, level-set, particle, tracking}, number = {8}, pages = {1470--1475}, posted-at = {2007-11-14 15:03:27}, priority = {5}, title = {Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours}, url = {http://dx.doi.org/10.1109/TPAMI.2007.1081}, volume = {29}, year = {2007} }

TY - JOUR ID - citeulike:1914415 L3 - citeulike-article-id:1914415 N2 - Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parametrization and cannot handle changes in curve topology. Geometric active contours provide a framework which is parametrization independent and allow for changes in topology. In the present work, we formulate a particle filtering algorithm in the geometric active contour framework that can be used for tracking moving and deforming objects. To the best of our knowledge, this is the first attempt to implement an approximate particle filtering algorithm for tracking on a (theoretically) infinite dimensional state space. IS - 8 JF - Transactions on Pattern Analysis and Machine Intelligence EP - 1475 TI - Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours VL - 29 T2 - Transactions on Pattern Analysis and Machine Intelligence SP - 1470 KW - active KW - contour KW - defrormable KW - filter KW - level-set KW - particle KW - tracking AU - Rathi, Yogesh AU - Vaswani, Namrata AU - Tannenbaum, Allen AU - Yezzi, Anthony PY - 2007/// UR - http://dx.doi.org/10.1109/TPAMI.2007.1081 ER -